Senior Data Engineer - FCV Risk & Monitoring

The World Bank Group; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

The World Bank Group in Washington, DC is seeking a Data Scientist - Data Engineer to support FCV corporate pipelines and risk monitoring. The role covers building data infrastructure, ETL pipelines, and governance across the TRACE stack and related dashboards.

The ideal candidate has a Master’s degree, strong Python/SQL, and hands-on Databricks and PySpark experience to deliver operational analytics for FCV monitoring and decision making.

Qualifications

• Master's degree in data engineering, computer science, statistics, economics, or a related field.
• Strong Python and SQL; production ETL/ELT experience.
• Hands-on experience with conflict and FCV-relevant data sources (ACLED, UCDP/GED, GDELT, ACAPS, IDMC, UNHCR, FAO/IPC, FEWS NET, and earth observation layers).

Responsibilities

• Maintain FCV Data Warehouse datasets and pipelines; migrate to Databricks.
• Expand data pipelines for geospatial data and FCV indicators.
• Maintain FCV Risk Portal ETL pipelines and governance.
• Support TRACE country conflict monitors with dashboards and templates.
• Run Global/Regional FCV Monitor in TRACE and develop spotlights.
• Maintain FCV Schema - Public FCV List and At-Risk List data.
• Enhance FCV Envelope dashboard and data quality controls.
• Provide data analysis support to RRA teams.
• Develop dashboards with country teams for operational relevance.

Skills

Python

SQL

ETL/ELT

Databricks

PySpark

Data governance

Communication with stakeholders

Conflict/FCV data

Education

Master's degree in data engineering, computer science, statistics, economics, or related field

Tools

Databricks

DuckDB/Parquet

MapLibre GL

FastAPI

TypeScript

Job description

The World Bank Group in Washington, DC is seeking a Data Scientist - Data Engineer to support FCV corporate pipelines and risk monitoring. The role covers building data infrastructure, ETL pipelines, and governance across the TRACE stack and related dashboards.

The ideal candidate has a Master’s degree, strong Python/SQL, and hands-on Databricks and PySpark experience to deliver operational analytics for FCV monitoring and decision making.